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Model CI/CD with Comet
Machine Learning Teams are moving their models from solutions like Github and storing them in MLOps platforms like Comet. Comet’s…
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Debugging Image Classifiers With Confusion Matrices
Introduction We often rely on scalar metrics and static plots to describe and evaluate machine learning models, but these methods…
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Kangas 2.0: Exploratory Data Analysis for Computer Vision
Today, we’re excited to release version 2.0 of Kangas, our open-source platform for exploring, analyzing, and visualizing multi-media data. Whether…
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Credit Card Fraud Detection With Autoencoders
In this article, we’ll leverage the power of autoencoders to address a key issue for banks and their customers: credit…
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Introduction to Artifacts In Comet
When conducting machine learning (ML) experiments, often you’re in an ML hackathon or you’re building ML solutions for an organization.…
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Kangas: Visualize Multimedia Data at Scale
Thousands of data scientists use Comet panels, histograms, and reports to visualize data from experiments every day. While we’re proud…
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Using TensorFlow in Comet
Photo by Alex Knight on Unsplash Neural Networks are a subset of artificial intelligence, aiming at modeling the human brain through mathematical concepts.…
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New Integration: Comet and Ray
We’re excited to announce another excellent integration with Comet — Ray! This integration allows data scientists to leverage Comet’s experiment tracking…
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New Integration: Comet + Catalyst
We’re excited to announce another excellent and powerful integration with Comet — Catalyst! This integration allows you to leverage Comet’s logging…
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Hyperparameter Optimization With Comet
We face optimization problems all the time in our daily life: you don’t merely pick up a random pair of…
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